The vital and national infrastructure of a country includes a wide range of cyber-physical systems. In order to exploit critical services, it requires highly sophisticated controls and focused maintenance. Any kind of malfunctioning of these systems will cause widespread destruction in a country. In this paper, we try to cover the concept of protecting the confidentiality of customers\\\' data in an intelligent network with the approach of using anomaly detection algorithm. For this purpose, OPTICS density-based method has been used. In order to increase the efficiency of this approach, the LOF index has been used alongside it. Then, by implementing the scattering criterion for the LOF indexes, we identify the malicious data. In order to validate the proposed method, we will help with the actual data of the London Smart Meter in January 2013. The results will be displayed in different scenarios.

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